import re
import json
from typing import Optional, Union

from multi_swe_bench.harness.image import Config, File, Image
from multi_swe_bench.harness.instance import Instance, TestResult
from multi_swe_bench.harness.pull_request import PullRequest


class ImageDefault(Image):
    def __init__(self, pr: PullRequest, config: Config):
        self._pr = pr
        self._config = config

    @property
    def pr(self) -> PullRequest:
        return self._pr

    @property
    def config(self) -> Config:
        return self._config

    def dependency(self) -> str:
        return "python:3.9-slim"

    def image_prefix(self) -> str:
        return "envagent"

    def image_tag(self) -> str:
        return f"pr-{self.pr.number}"

    def workdir(self) -> str:
        return f"pr-{self.pr.number}"

    def files(self) -> list[File]:
        return [
            File(
                ".",
                "fix.patch",
                f"{self.pr.fix_patch}",
            ),
            File(
                ".",
                "test.patch",
                f"{self.pr.test_patch}",
            ),
            File(
                ".",
                "prepare.sh",
                """ls
###ACTION_DELIMITER###
pip install -e ".[test]"
###ACTION_DELIMITER###
echo 'pytest -vv test/' > test_commands.sh
###ACTION_DELIMITER###
pytest -vv test/
###ACTION_DELIMITER###
pip install pytest
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
pip install torch pytest-bdd pytest-flaky
###ACTION_DELIMITER###
echo '[pytest]
markers = flaky' > pytest.ini && pip install transformers[torch,sentencepiece]==4.44.2 huggingface_hub>=0.23.0 sentence-transformers>=3.0.0 langdetect openai-whisper>=20231106 arrow>=1.3.0 spacy>=3.8,<3.9 spacy-curated-transformers>=0.2,<=0.3 'en-core-web-trf @ https://github.com/explosion/spacy-models/releases/download/en_core_web_trf-3.8.0/en_core_web_trf-3.8.0-py3-none-any.whl' pypdf pdfminer.six markdown-it-py mdit_plain
###ACTION_DELIMITER###
echo '[pytest]\nmarkers = flaky' > pytest.ini && pip install 'transformers[torch,sentencepiece]==4.44.2' huggingface_hub>=0.23.0 sentence-transformers>=3.0.0 langdetect openai-whisper>=20231106 arrow>=1.3.0 'spacy>=3.8,<3.9' 'spacy-curated-transformers>=0.2,<=0.3' 'en-core-web-trf @ https://github.com/explosion/spacy-models/releases/download/en_core_web_trf-3.8.0/en_core_web_trf-3.8.0-py3-none-any.whl' pypdf pdfminer.six markdown-it-py mdit_plain
###ACTION_DELIMITER###
apt-get update && apt-get install -y build-essential
###ACTION_DELIMITER###
pip install 'transformers[torch,sentencepiece]==4.44.2' huggingface_hub>=0.23.0 sentence-transformers>=3.0.0 langdetect openai-whisper>=20231106 arrow>=1.3.0 'spacy>=3.8,<3.9' 'spacy-curated-transformers>=0.2,<=0.3' 'en-core-web-trf @ https://github.com/explosion/spacy-models/releases/download/en_core_web_trf-3.8.0/en_core_web_trf-3.8.0-py3-none-any.whl' pypdf pdfminer.six markdown-it-py mdit_plain
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
echo -e '[pytest]\nmarkers = flaky' > pytest.ini
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
pip install openapi3 pytest-bdd nltk azure-cognitiveservices-vision-computervision && python -m nltk.downloader punkt && echo -e '[pytest]\nmarkers = flaky\nintegration' > pytest.ini
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
echo -e '[pytest]\nmarkers = flaky, integration' > pytest.ini
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
pip install azure-ai-formrecognizer ddtrace opentelemetry-api opentelemetry-sdk && echo -e '[pytest]\nmarkers =\n    flaky: mark flaky tests\n    integration: mark integration tests' > pytest.ini
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
pip install isort structlog ddtrace==0.59.0
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
pip install toml
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
pip install pyproject-parser
###ACTION_DELIMITER###
pip install --force-reinstall pyproject-parser
###ACTION_DELIMITER###
bash test_commands.sh
###ACTION_DELIMITER###
pip install python-docx
###ACTION_DELIMITER###
bash test_commands.sh""",
            ),
            File(
                ".",
                "run.sh",
                """#!/bin/bash
cd /home/{pr.repo}
pytest -vv test/

""".format(pr=self.pr),
            ),
            File(
                ".",
                "test-run.sh",
                """#!/bin/bash
cd /home/{pr.repo}
if ! git -C /home/{pr.repo} apply --whitespace=nowarn /home/test.patch; then
    echo "Error: git apply failed" >&2
    exit 1  
fi
pytest -vv test/

""".format(pr=self.pr),
            ),
            File(
                ".",
                "fix-run.sh",
                """#!/bin/bash
cd /home/{pr.repo}
if ! git -C /home/{pr.repo} apply --whitespace=nowarn  /home/test.patch /home/fix.patch; then
    echo "Error: git apply failed" >&2
    exit 1  
fi
pytest -vv test/

""".format(pr=self.pr),
            ),
        ]

    def dockerfile(self) -> str:
        copy_commands = ""
        for file in self.files():
            copy_commands += f"COPY {file.name} /home/\n"

        dockerfile_content = """
# This is a template for creating a Dockerfile to test patches
# LLM should fill in the appropriate values based on the context

# Choose an appropriate base image based on the project's requirements - replace [base image] with actual base image
# For example: FROM ubuntu:**, FROM python:**, FROM node:**, FROM centos:**, etc.
FROM python:3.9-slim

## Set noninteractive
ENV DEBIAN_FRONTEND=noninteractive

# Install basic requirements
# For example: RUN apt-get update && apt-get install -y git
# For example: RUN yum install -y git
# For example: RUN apk add --no-cache git
RUN apt-get update && apt-get install -y git

# Ensure bash is available
RUN if [ ! -f /bin/bash ]; then         if command -v apk >/dev/null 2>&1; then             apk add --no-cache bash;         elif command -v apt-get >/dev/null 2>&1; then             apt-get update && apt-get install -y bash;         elif command -v yum >/dev/null 2>&1; then             yum install -y bash;         else             exit 1;         fi     fi

WORKDIR /home/
COPY fix.patch /home/
COPY test.patch /home/
RUN git clone https://github.com/deepset-ai/haystack.git /home/haystack

WORKDIR /home/haystack
RUN git reset --hard
RUN git checkout {pr.base.sha}
"""
        dockerfile_content += f"""
{copy_commands}
"""
        return dockerfile_content.format(pr=self.pr)


@Instance.register("deepset-ai", "haystack_8500_to_8294")
class HAYSTACK_8500_TO_8294(Instance):
    def __init__(self, pr: PullRequest, config: Config, *args, **kwargs):
        super().__init__()
        self._pr = pr
        self._config = config

    @property
    def pr(self) -> PullRequest:
        return self._pr

    def dependency(self) -> Optional[Image]:
        return ImageDefault(self.pr, self._config)

    def run(self, run_cmd: str = "") -> str:
        if run_cmd:
            return run_cmd

        return "bash /home/run.sh"

    def test_patch_run(self, test_patch_run_cmd: str = "") -> str:
        if test_patch_run_cmd:
            return test_patch_run_cmd

        return "bash /home/test-run.sh"

    def fix_patch_run(self, fix_patch_run_cmd: str = "") -> str:
        if fix_patch_run_cmd:
            return fix_patch_run_cmd

        return "bash /home/fix-run.sh"

    def parse_log(self, log: str) -> TestResult:
        # Parse the log content and extract test execution results.
        passed_tests = set()  # Tests that passed successfully
        failed_tests = set()  # Tests that failed
        skipped_tests = set()  # Tests that were skipped
        import re
        import json

        # TODO: Implement the parse_log function
        # Regex pattern to identify test cases and their statuses
        pattern = re.compile(
            r"^.*?(test/.*?)(?:\s+<- .*?)?\s+(PASSED|FAILED|SKIPPED|PASS|FAIL|SKIP|passed|failed|skipped|pass|fail|skip|OK|ERROR|XFAIL|xfail|√|x).*$",
            re.MULTILINE,
        )
        # Iterate through all matches in the log content
        for match in pattern.finditer(log):
            test_name = match.group(1).strip()
            status = match.group(2).upper()
            if status in {"PASSED", "PASS", "OK", "√"}:
                passed_tests.add(test_name)
            elif status in {"FAILED", "FAIL", "ERROR", "X", "XFAIL"}:
                failed_tests.add(test_name)
            elif status in {"SKIPPED", "SKIP"}:
                skipped_tests.add(test_name)
        # Implement the log parsing logic here
        parsed_results = {
            "passed_tests": passed_tests,
            "failed_tests": failed_tests,
            "skipped_tests": skipped_tests,
        }

        return TestResult(
            passed_count=len(passed_tests),
            failed_count=len(failed_tests),
            skipped_count=len(skipped_tests),
            passed_tests=passed_tests,
            failed_tests=failed_tests,
            skipped_tests=skipped_tests,
        )
